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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # resumes_model
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [job-description](https://huggingface.co/datasets/mpuig/job-experience) dataset.
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- ## Model description
 
 
 
 
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- More information needed
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  ## Intended uses & limitations
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Model Card for mpuig/job-experience
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+ This model is a fine-tuned version of [GPT-2](https://huggingface.co/gpt2) to generate fake job experience descriptions.
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+ While this may not have practical applications in the real world, it served as a valuable learning experience for understanding the process of fine-tuning a language learning model. Through this repository, I hope to share my insights and findings on the capabilities and limitations of GPT-2 in generating job experiences.
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+ The goal was to obtain a model where, starting with a sentence like &#34;As a Software Engineer, I &#34;, the model generates a complete new sentence related to the job title (&#34;Software Engineer&#34;) like:
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+ &#34;_As a software architect, I coordinated with the Marketing department to identify problems encountered and provide solutions to resolve them._&#34;
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  ## Intended uses & limitations
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